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Analysis of Microdata
Buch von Stefan Boes (u. a.)
Sprache: Englisch

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Beschreibung
The availability of microdata has increased rapidly over the last decades, and standard statistical and econometric software packages for data analysis include ever more sophisticated modeling options. The goal of this book, now initssecondedition,istofamiliarizethereaderwithawiderangeofcommonly used models, and thereby to enable her/him to become a critical consumer of current empirical research, and to properly conduct own empirical analyses. The book can be used as a textbook for an advanced undergraduate, a Master¿s or a ?rst-year Ph.D. course on the topic of microdata analysis. In economicsandrelateddisciplines,suchacourseistypicallyo?eredaftera?rst course on the linear regression model. Alternatively, the book can also serve as a supplementary text to applied ?eld courses, such as those dealing with empirical analyses in labor, health or education. Finally, it might provide a useful reference for graduate students, researchers and practitioners who encounter microdata in their work. The focus of the book is on regression-type models in the context of large cross-section samples where the dependent variable is qualitative or discrete, or where the sample is not randomly drawn from the population of interest, due to censoring or truncation of the dependent variable. While our ba- groundisineconomics,andweoccasionallyrefertoproblemsandapplications fromempiricaleconomics,themodelsdiscussedinthisbookshouldbeequally relevant wherever microdata are used, inside the social sciences, including for example quantitative political science and sociology, as well as outside.
The availability of microdata has increased rapidly over the last decades, and standard statistical and econometric software packages for data analysis include ever more sophisticated modeling options. The goal of this book, now initssecondedition,istofamiliarizethereaderwithawiderangeofcommonly used models, and thereby to enable her/him to become a critical consumer of current empirical research, and to properly conduct own empirical analyses. The book can be used as a textbook for an advanced undergraduate, a Master¿s or a ?rst-year Ph.D. course on the topic of microdata analysis. In economicsandrelateddisciplines,suchacourseistypicallyo?eredaftera?rst course on the linear regression model. Alternatively, the book can also serve as a supplementary text to applied ?eld courses, such as those dealing with empirical analyses in labor, health or education. Finally, it might provide a useful reference for graduate students, researchers and practitioners who encounter microdata in their work. The focus of the book is on regression-type models in the context of large cross-section samples where the dependent variable is qualitative or discrete, or where the sample is not randomly drawn from the population of interest, due to censoring or truncation of the dependent variable. While our ba- groundisineconomics,andweoccasionallyrefertoproblemsandapplications fromempiricaleconomics,themodelsdiscussedinthisbookshouldbeequally relevant wherever microdata are used, inside the social sciences, including for example quantitative political science and sociology, as well as outside.
Zusammenfassung

This book provides a simple, intuitive introduction to regression models for qualitative and discrete dependent variables, to sample selection models, and to event history models, all in the context of maximum likelihood estimation. Coverage extends to a wide range of commonly used models. The book enables the reader to be a more critical consumer of current empirical social science research and to conduct original empirical analyses. It can be used as a textbook for an advanced undergraduate, Masters or first-year Ph.D. course in microdata analysis, as a supplementary text to an applied microeconomics field course, or as a practical reference for practitioners and researchers. The book includes numerous examples, illustrations, and exercises.

Inhaltsverzeichnis
From Regression to Probability Models.- Maximum Likelihood Estimation.- Binary Response Models.- Multinomial Response Models.- Ordered Response Models.- Limited Dependent Variables.- Event History Models.
Details
Erscheinungsjahr: 2009
Fachbereich: Wirtschaftsratgeber
Genre: Wirtschaft
Rubrik: Recht & Wirtschaft
Medium: Buch
Seiten: 360
Inhalt: xiv
343 S.
39 s/w Illustr.
343 p. 39 illus.
ISBN-13: 9783540927471
ISBN-10: 3540927476
Sprache: Englisch
Herstellernummer: 12596690
Ausstattung / Beilage: HC runder Rücken kaschiert
Einband: Gebunden
Autor: Boes, Stefan
Winkelmann, Rainer
Auflage: 2nd ed. 2009
Hersteller: Springer Berlin
Springer Berlin Heidelberg
Maße: 241 x 160 x 25 mm
Von/Mit: Stefan Boes (u. a.)
Erscheinungsdatum: 04.02.2009
Gewicht: 0,705 kg
preigu-id: 101706809
Zusammenfassung

This book provides a simple, intuitive introduction to regression models for qualitative and discrete dependent variables, to sample selection models, and to event history models, all in the context of maximum likelihood estimation. Coverage extends to a wide range of commonly used models. The book enables the reader to be a more critical consumer of current empirical social science research and to conduct original empirical analyses. It can be used as a textbook for an advanced undergraduate, Masters or first-year Ph.D. course in microdata analysis, as a supplementary text to an applied microeconomics field course, or as a practical reference for practitioners and researchers. The book includes numerous examples, illustrations, and exercises.

Inhaltsverzeichnis
From Regression to Probability Models.- Maximum Likelihood Estimation.- Binary Response Models.- Multinomial Response Models.- Ordered Response Models.- Limited Dependent Variables.- Event History Models.
Details
Erscheinungsjahr: 2009
Fachbereich: Wirtschaftsratgeber
Genre: Wirtschaft
Rubrik: Recht & Wirtschaft
Medium: Buch
Seiten: 360
Inhalt: xiv
343 S.
39 s/w Illustr.
343 p. 39 illus.
ISBN-13: 9783540927471
ISBN-10: 3540927476
Sprache: Englisch
Herstellernummer: 12596690
Ausstattung / Beilage: HC runder Rücken kaschiert
Einband: Gebunden
Autor: Boes, Stefan
Winkelmann, Rainer
Auflage: 2nd ed. 2009
Hersteller: Springer Berlin
Springer Berlin Heidelberg
Maße: 241 x 160 x 25 mm
Von/Mit: Stefan Boes (u. a.)
Erscheinungsdatum: 04.02.2009
Gewicht: 0,705 kg
preigu-id: 101706809
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